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CHI2016-SUR-datasets

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This repository contains the datasets used for training and evaluation of the
SPtP algorithm [1] as presented in the paper 'Helping Computers Understand 
Geographically-Bound Activity Restrictions' [2] by Soll et al.

The dataset "TRAINING207" was collected by Marcus Soll, Philipp Naumann and 
students of the university of Hasselt [3].

The dataset "EVAL96" was collected by students of the university of 
Hasselt [3].

The dataset "EVAL102" was collected by Marcus Soll, Philipp Naumann and 
students of the university of Hasselt [3].

The dataset "EVAL243" was collected by the participants of the 
InformatiCup 2015 [4].

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LICENSE:

The database is free for academic use only. To be able to  keep track of who 
uses it please send us an email with the following information:

   * Your name
   * Your research institute (name, city, country, web address if available)
   * Some words on your research and how the database would be used in it
   * How you heard of the database (colleague, Internet, etc.)
   * Please state that you agree to the terms of use outlined above

This is for us to keep track of where and how the database is employed.

We also ask that you cite us in any publications that may stem from the use of
this database.

For citation, please cite the following paper [2]:
Marcus Soll, Philipp Naumann Johannes Schöning, Pavel Samsonov & Brent Hecht:
Helping Computers Understand Geographically-Bound Activity Restrictions.
CHI 2016: Proceedings of the International Conference on Human Factors in 
Computing Systems, 2016.

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For additional questions please contact [2]:

Marcus Soll, Philipp Naumann,
Johannes Schöning <http://www.johannesschoening.de/>, Pavel Samsonov, 
Brent Hecht: Helping Computers Understand Geographically-Bound Activity 
Restrictions. CHI 2016 <http://chi2016.acm.org/>: Proceedings of the 
International Conference on Human Factors in Computing Systems, 2016.

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[1] https://github.com/Top-Ranger/SPtP
[2] http://dx.doi.org/10.1145/2858036.2858053
[3] http://www.uhasselt.be/en
[4] http://informaticup.gi.de/startseite/rueckblickearchiv/informaticup-2015.html

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SUR datasets used for CHI2016 paper

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